SB

Open to opportunities

Srishti Bhargava

@srishtibhargava

Data Scientist specialising in BigQuery, dbt, and Looker—building scalable pipelines and product analytics.

What I'm looking for

I’m looking for a role where I can build scalable BigQuery/dbt pipelines and impactful Looker dashboards for real product decisions, while applying statistical modelling and machine learning to improve data quality, experimentation, and self-serve analytics.

I’m a Data Scientist with 3+ years of experience in analytics engineering, BI development, and product analytics, specialising in BigQuery, dbt, and Looker. I build scalable data pipelines and dashboards that help teams make faster, data-backed decisions.

At Edcast by Cornerstone, I built and optimised 100+ dbt models and SQL pipelines on BigQuery, cutting pipeline runtimes by 50–65%. I also developed 20+ Looker dashboards and LookML models used by 300+ customers and 10,000+ end users, and automated Looker operations via APIs—saving 100+ hours annually while managing pipelines processing 50M+ rows/day with high reliability.

I enjoy turning raw data into actionable insights: I instrumented 20+ product features, validated data quality, and delivered insights that shaped product and customer decisions. Previously, as a Senior Associate, I optimised ETL pipelines (15% faster processing), leveraged Domo to reduce decision-making time by 30%, and ran A/B tests; I also built random forest models in R (89% accuracy) to forecast user behaviour and link patterns to a 25% growth in course sales.

Experience

Work history, roles, and key accomplishments

EC

Current

Data Scientist

Current

Edcast by Cornerstone

Jul 2024 - Present (1 year 11 months)

Built and optimized 100+ dbt models and BigQuery SQL pipelines, reducing pipeline runtimes by 50–65%. Developed 20+ Looker dashboards used by 300+ customers and 10,000+ end users, and automated Looker operations via APIs to save 100+ hours annually while processing 50M+ rows/day.

DBT BigQuery SQL Looker LookML Python Data Quality A B Testing

EC

Senior Associate, Analytics

Edcast by Cornerstone

Dec 2021 - Jan 2023 (1 year 1 month)

Optimized ETL pipelines and data infrastructure, reducing data processing time by 15% and accelerating strategic planning insights. Streamlined data processing with Domo (cut decision-making time by 30%), improved reporting workflows by 90%, and built R random forest models to forecast user behavior with 89% accuracy, contributing to a 25% growth in course sales.

ETL Domo A B Testing R Random Forest Statistical Modelling Data Mining Machine Learning Data Infrastructure

Education

Degrees, certifications, and relevant coursework

UA

University of St Andrews

Master of Science, Applied Statistics and Data Mining

2018 - 2019

Activities and societies: British Council India 70th Anniversary Scholar; coursework/projects on fuel efficiency, flight delay prediction, and gender bias in admissions.

Completed an M.Sc. in Applied Statistics and Data Mining. Projects included fuel efficiency analysis, predicting flight delays, and studying gender bias in admissions.

SD

Sri Venkateswara College, University of Delhi

Bachelor of Science (Honours), Mathematics

2014 - 2017

Earned a B.Sc. (Honours) in Mathematics. Degree included advanced undergraduate study in mathematics.

Tech stack

Software and tools used professionally

DOMO

dbt

F#

Microsoft Power BI

SQL

EdCast

Remote

Jan

X++

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